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Committed Use Discount planning for Google Cloud

Committed Use Discount planning for Google Cloud

Committed Use Discount planning for Google Cloud

Import CUD metadata, see coverage per project and team, and size spend-based commitments on your steady baseline.

Runs in

Claude · Slack

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Show our Google Cloud CUD coverage by project for the last 90 days, and the uncovered Compute Engine baseline.

› get_context

› get_context

› query ↗ Explorer

› query ↗ Explorer

Compute Engine coverage: 48%. Uncovered steady baseline in europe-west1: about $9/hour over 90 days. A spend-based CUD at $7/hour would leave headroom for the migration planned in Q1.

FinOps decides on the commitment amount and term.

Playbook

What the agent does

From what Costory notices to what you decide. Costory suggests the next step in conversation, and you decide whether to go ahead.

Costory notices

Uncovered steady Google Cloud spend persists for 90 days.

Costory investigates

01

Import CUD metadata

Costory reads Google Cloud Committed Use Discount metadata from BigQuery.

02

See coverage

Covered vs uncovered spend by project and team.

03

Find the baseline

Claude finds the steady hourly spend per service.

04

Propose options

Spend-based CUD scenarios for your team to review.

Where you see it

Claude

You decide

FinOps decides on the commitment amount and term.

Why it matters

Google Cloud CUDs come in several flavours and are hard to attribute. Teams either over-commit or leave easy savings on the table.

Who it’s for

FinOps leads, platform leads

Where it runs

Claude · Slack

What you get

What lands in front of your team

Attributed commitments

CUD benefits mapped to projects and teams.

Sized on data

Options based on your steady baseline.

Decision support

Your team makes the commitment call.

Sources and assistants

What it connects

The billing data, context and assistants this playbook uses. Each links to its setup page.

The billing data, context and assistants this playbook uses. Each links to its setup page.

Example prompts

Or drive it yourself

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

Review

Show our Google Cloud CUD coverage by project for the last 90 days, and the uncovered Compute Engine baseline.

Size

Propose a spend-based CUD amount for Cloud SQL based on our lowest steady usage.

FAQ

Questions about this playbook

Does Costory guarantee savings?

No. The agent investigates and recommends with the evidence attached; your team decides what to change. Impact figures are estimates based on your own data.

How long does this playbook take to set up?

Connecting your billing data and the Costory MCP takes under 30 minutes with Terraform or CloudFormation. The playbook itself takes minutes: pick the scope, the trigger and the Slack channel. The first billing data lands the next day, and the agent starts from there.

Can we adjust what the agent does?

Yes. You choose the trigger, the scope (team, service, environment), the channel and the format, and you can pause or change it at any time.

Does Costory change anything in our cloud accounts?

No. Costory reads billing exports and the metrics you connect, and has no write access to your cloud. Actions it takes create Costory objects only: alerts, reports, dashboards and events. Your team stays in control of every change.

Step-by-step guide in the Costory docs

Put this playbook on call

Included in every plan, from €250/month. 30-day free trial: connect in under 30 minutes, get your first optimization recommendation the next day.

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Setup

About 30 minutes

Data residency

EU

Access

Read-only on your cloud